Table 2 Six ocular instrumentation input in five classification model*.

From: Machine learning prediction of pathologic myopia using tomographic elevation of the posterior sclera

Variables

Overall (n = 860)

Healthy myopia eyes

Pathologic myopia eyes

P value

TEPS fovea→disc, (μm)

258.30 ± 307.00

257.50 ± 200.64

262.74 ± 628.17

0.924

TEPS fovea→DPE (μm)

393.25 ± 192.42

351.46 ± 115.36

623.72 ± 325.12

 < 0.001

TEPS disc→DPE (μm)

134.95 ± 226.99

93.96 ± 133.42

360.99 ± 422.19

 < 0.001

TEPS distance (μm)

3344.91 ± 1481.59

3270.49 ± 1420.51

3755.33 ± 1730.64

0.002

Axial length (mm)

26.00 ± 1.61

25.68 ± 1.23

27.75 ± 2.25

 < 0.001

SCT (μm)

243.12 ± 106.61

256.28 ± 102.40

170.53 ± 100.31

 < 0.001

  1. SCT subfoveal choroidal thickness; TEPS tomographic elevation of the posterior sclera.
  2. *Data are presented as mean ± standard deviation unless otherwise indicated.
  3. Independent t-test for continuous variables.
  4. Statistically significant values (P < 0.05) are shown in bold.